@J88913 Thank you Sir for sharing the video. Very grateful and Appreciate!!

Request a clarification. on line 85 of the code which reads as below, we would be able to fetch the high, low , volume for the day. But how do we code it if we want the details for open, high , low , close, volume and open interest for all ticks say for 1 minute, so we can compile the date into candlestick data of for 1 minute

LIVE_FEED_JSON[msg['token']] = {'1' :datetime.datetime.fromtimestamp(msg['exchange_timestamp']/1000).strftime('%Y-%m-%d %H:%M:%S') ,'3' :msg['last_traded_price']/100 ,'4' :msg['average_traded_price']/100 ,'5' :msg['high_price_of_the_day']/100 ,'6':msg['low_price_of_the_day']/100 ,'7' :msg['closed_price']/100 ,'8':msg['volume_trade_for_the_day'],'9':msg['open_interest']}

@Moderator_2 Thank you for your kind and prompt responses.

Kindly help how do we fetch open interest for historical data of options. I am using the below line of code but it is showing an error as

Historic Api failed: 'Series' object has no attribute 'open_interest' BANKNIFTY20DEC2346000CE

Code is as below:
historicParam = {
"exchange" : symbolInfo.exch_seg,
"symboltoken": symbolInfo.token,
"interval": "ONE_MINUTE",
"fromdate": "2023-12-15 09:15",
"todate": "2023-12-15 15:30",
}
res_json = obj.getCandleData(historicParam)
columns = ["timestamp", "open", "high", "low", "close", "volume"]
df = pd.DataFrame(res_json["data"], columns= columns )
df["open_interest"] = symbolInfo.open_interest

Without Open interest the code works fine. Thanks in advance

Re: Historical data for options

@admin Do we have any update on historical data for options. Or any other solution available. Its much needed data